Exploring prognostic precision: a nomogram approach for malignant pleural effusion in lung cancer.

ABSTRACT:

Background

Patients with lung cancer and malignant pleural effusion (MPE) often have poor prognoses. Accurate prognostic tools are needed to guide interventions and improve outcomes.

Methods

We retrospectively analyzed clinical and imaging data from MPE patients at two medical centers. A nomogram was developed and externally validated. Clinical and imaging features were refined using least absolute shrinkage and selection operator (LASSO), and independent predictors were identified via multivariate logistic regression. Predictors were integrated into the nomogram, whose predictive performance, calibration, and clinical utility were evaluated using statistical analyses, including receiver operating characteristic (ROC) curves, calibration curves, Hosmer-Lemeshow tests, and de

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC11808993 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature